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Re: Statistics & Actuarial Science Seminar - Jenny Bryan - Nov. 29th

Further to Kelly Jay's reminder about tomorrow's seminar, Jenny Bryan has recently sent this link to the materials for the workshop:


----- Original Message -----
From: "Jennifer Bryan" <jenny@stat.ubc.ca>
To: "Jinko Graham" <jgraham@sfu.ca>
Cc: "Scott Chamberlain" <myrmecocystus@gmail.com>
Sent: Thursday, November 28, 2013 12:16:26 AM
Subject: Re: SFU visit next week

> Anytime you're ready, please feel free to send me the information on the R packages to upload. I'll see to it that the info gets out. 

Hi Jinko. Here's where workshop preparation instructions can be found:


-- Jenny

----- Original Message -----
From: "Stat Chair Secretary" <stchsec@sfu.ca>
To: "stat-sem" <stat-sem@sfu.ca>
Sent: Thursday, November 28, 2013 8:11:13 AM
Subject: Re: Statistics & Actuarial Science Seminar - Jenny Bryan - Nov. 29th

Friendly Reminder of our last seminar of the semester. For those attending the informal workshop, please download RStudio on your laptop. (mentioned in abstract below) 

----- Original Message -----

From: "Stat Chair Secretary" <stchsec@sfu.ca> 
To: "stat-sem" <stat-sem@sfu.ca> 
Sent: Friday, November 22, 2013 2:24:02 PM 
Subject: Statistics & Actuarial Science Seminar - Jenny Bryan - Nov. 29th 

This is our last seminar of the semester - instead of 'Meet the Speaker', the speaker will be conducting an informal workshop (R workshop), 

although not mandatory, we encourage you to bring your laptop. 


Jennifer Bryan 

Associate Professor 
Department of Statistics and the Michael Smith Laboratories, UBC 

All are Welcome to the Seminar and Informal Workshop Session 

Date: November 29, 2013 

Time: 1:30 p.m. 

Room : ASB 10900 (IRMACS Theatre) 

Informal workshop session directly after the talk 

Room: ASB 10900 

Light refreshments at 1:15 p.m. - IRMACS Atrium 

No registration required TITLE: 

Reproducible research, open science, and all that good stuff for people who use R to do stats ABSTRACT: 

There is a huge buzz these days around changing practices in all aspects of data analysis. I will go over some recent exciting developments that are particularly relevant for the statistics 
community, especially for users of R. We'll talk about R Markdown, the knitr package, handy features of the RStudio IDE, and Git(Hub). And how to get all of these things working together! The first 45 minutes will be a somewhat conventional talk, perhaps with some demos, with many opportunities for questions and discussion. Then we will have about an hour for a short hands-on workshop for anyone who can bring a laptop and wants to try these things out! Keep your eyes open for forthcoming instructions about what to install in advance. 

Kelly Jay 
Chair Secretary 
Statistics & Actuarial Science 
Simon Fraser University